Faster Loan Processing

Annual Savings (BMO)

Handwriting Recognition Accuracy

Cost Reduction

Bank of Montreal

Automated loan processing with Bedrock-powered handwriting extraction. Reduced processing time from 5-7 days to 1.5-2 days, delivering $2.1M in annual operational savings.

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Ford Credit

Automated document routing system using Textract, Comprehend, and A2I to classify and direct scanned letters to appropriate departments.

Experian

Automated VIN matching system using Textract for extraction, DynamoDB for mapping, and Lambda triggers for compliance verification.

AWS Textract

Extract text, tables, and forms from documents with machine learning

Amazon Bedrock

Generative AI for complex document understanding and handwriting recognition

Amazon A2I

Human-in-the-loop validation for high-confidence decisions

How long does it take to implement AI document processing?

Most implementations take 8-12 weeks from kickoff to production. This includes discovery, architecture design, development, testing, and deployment. We can often deliver a proof-of-concept within 2-3 weeks to demonstrate value quickly.

What accuracy can I expect from automated loan processing?

Our solutions typically achieve 92-99% accuracy depending on document quality and complexity. For handwritten documents, we achieve 92%+ accuracy using Amazon Bedrock. Human-in-the-loop validation ensures 99.9% accuracy for critical decisions.

Is AI document processing compliant with banking regulations?

Yes. Our solutions are built on AWS, which maintains compliance with SOC 1/2/3, PCI DSS, and other financial services regulations. We implement audit trails, encryption at rest and in transit, and role-based access controls.

What ROI can financial institutions expect?

Our clients typically see 40-65% reduction in processing time and 40% cost savings. Bank of Montreal achieved $2.1M in annual operational savings. ROI is usually realized within 12-18 months.